{"id":2609,"date":"2022-12-18T17:05:52","date_gmt":"2022-12-18T16:05:52","guid":{"rendered":"https:\/\/rcai.de\/?page_id=2609"},"modified":"2026-03-23T13:58:08","modified_gmt":"2026-03-23T12:58:08","slug":"publications","status":"publish","type":"page","link":"https:\/\/rcai.de\/en\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Publications<\/h2>\n\n\n\n
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Foundations<\/a><\/h6>\n\n\n\n
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Explainable AI<\/a><\/h6>\n<\/div>\n\n\n\n
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Causality<\/a><\/h6>\n<\/div>\n\n\n\n
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Natural Language Processing<\/a><\/h6>\n<\/div>\n\n\n\n
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Computer Audition<\/a><\/h6>\n<\/div>\n\n\n\n
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Edge AI<\/a><\/h6>\n<\/div>\n\n\n\n
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Quantum AI<\/a><\/h6>\n<\/div>\n\n\n\n
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Mathematical Foundations<\/a><\/h6>\n<\/div>\n\n\n\n
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Actuarial Science<\/a><\/h6>\n<\/div>\n\n\n\n
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Statistics<\/a><\/h6>\n<\/div>\n\n\n\n
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Software Engineering<\/a><\/h6>\n<\/div>\n\n\n\n
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Safety & Security<\/a><\/h6>\n<\/div>\n\n\n\n
Production<\/a><\/h6>\n\n\n\n
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Design<\/a><\/h6>\n<\/div>\n\n\n\n
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Planning<\/a><\/h6>\n<\/div>\n\n\n\n
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Optimisation<\/a><\/h6>\n<\/div>\n\n\n\n
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Robotics and Control<\/a><\/h6>\n<\/div>\n\n\n\n
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Predictive Maintenance<\/a><\/h6>\n<\/div>\n\n\n\n
Infrastructure<\/a><\/h6>\n\n\n\n
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Civil Engineering<\/a><\/h6>\n<\/div>\n\n\n\n
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Energy<\/a><\/h6>\n<\/div>\n\n\n\n
Mobility<\/a><\/h6>\n\n\n\n
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Driver Assistance Systems<\/a><\/h6>\n<\/div>\n\n\n\n
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Mobility Concepts<\/a><\/h6>\n<\/div>\n\n\n\n
Medicine<\/a><\/h6>\n\n\n\n
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Medical Image Processing<\/a><\/h6>\n<\/div>\n\n\n\n
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Digital Models of the Human Body<\/a><\/h6>\n<\/div>\n\n\n\n
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Neuroimaging\/Brain Computer Interface<\/a><\/h6>\n<\/div>\n\n\n\n
Ethical, Legal and Social Aspects<\/a><\/h6>\n\n\n\n
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Empirical Social Research<\/a><\/h6>\n<\/div>\n\n\n\n
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Ethics and Technology Impact<\/a><\/h6>\n<\/div>\n\n\n\n
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Foundations<\/h4>\n\n\n\n
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Explainable AI<\/h3>\n\n\n\n

Prof. Dr. Stephan Scheele<\/a><\/h6>\n\n\n\n
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J. Amling, S. Scheele, E. Slany, M. Lang, and U. Schmid. 2024. \u201cExplainable AI for Mixed\nData Clustering.\u201d In Explainable Artificial Intelligence - Second World Conference (xAI)<\/i>, , 42\u201362. http:\/\/doi.org\/10.1007\/978-3-031-63797-1_3<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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J. Deuschel, A. Foltyn, K. Roscher, and S. Scheele. 2024. \u201cThe Role of Uncertainty Quantification for Trustworthy AI.\u201d In Unlocking Artificial Intelligence: From Theory to Applications<\/i>, Springer. 10.1007\/978-3-031-64832-8_5<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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F. Gretz, F.-J. Frosch, M. Mendler, and S. Scheele. 2024. \u201cSynchronized Shared Memory and Black-Box Procedural Abstraction: Toward a Formal Semantics of Blech.\u201d ACM Transactions on Embedded\nComputing Systems<\/i> 23.5: 1\u201345. http:\/\/doi.org\/10.1145\/3571585<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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E. Slany, S. Scheele, and U. Schmid. 2023. \u201cBayesian CAIPI: A Probabilistic Approach to Explanatory and Interactive Machine Learning.\u201d In Artificial Intelligence. ECAI 2023 International Workshops - XAI3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI<\/i>, Communications in Computer and Information Science, , 285\u2013301. http:\/\/doi.org\/10.1007\/978-3-031-50396-2_16<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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E. Slany, Y. Ott, S. Scheele, J. Paulus, and U. Schmid. 2022. \u201cCAIPI in Practice: Towards Explainable Interactive Medical Image Classification.\u201d In Artificial Intelligence Applications and Innovations (AIAI) 2022 IFIP WG 12.5 International Workshops - MHDW 2022, 5G-PINE 2022, AIBMG 2022, ML@HC 2022, and AIBEI 2022<\/i>, IFIP Advances in Information and Communication Technology, , 389\u2013400. http:\/\/doi.org\/10.1007\/978-3-031-08341-9_31<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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D. M\u00fcller, M. M\u00e4rz, S. Scheele, and U. Schmid. 2022. \u201cAn Interactive Explanatory AI System for Industrial Quality Control.\u201d In 36th Conference on Artificial Intelligence (AAAI), 34th Conference on Innovative Applications of Artificial Intelligence (IAAI), 12th Symposium on Educational Advances in Artificial Intelligence (EAAI)<\/i>, AAAI Press. http:\/\/doi.org\/10.1609\/aaai.v36i11.21530<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Herchenbach, D. M\u00fcller, S. Scheele, and U. Schmid. 2022. \u201cExplaining Image Classifications with near Misses, near Hits and Prototypes: Supporting Domain Experts in Understanding Decision Boundaries.\u201d In Pattern Recognition and Artificial Intelligence - Third International Conference (ICPRAI)<\/i>, Lecture Notes in Computer Science, http:\/\/doi.org\/10.1007\/978-3-031-09282-4_35<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Mendler, S. Scheele, and L. Burke. 2021. \u201cThe Dosen Square Under Construction: A Tale of Four Modalities.\u201d In International Conference on Automated Reasoning with Analytic Tableaux and Related Methods<\/i>, Springer, 446\u201365. http:\/\/doi.org\/10.1007\/978-3-030-86059-2_26<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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B. Finzel, D. E. Tafler, S. Scheele, and U. Schmid. 2021. \u201cExplanation as a Process: User-Centric Construction of Multi-Level and Multi-Modal Explanations.\u201d In Advances in Artificial Intelligence - 44th German Conference on AI (KI 2021)<\/i>, Lecture Notes in Computer Science, Springer, 80\u201394. http:\/\/doi.org\/10.1007\/978-3-030-87626-5_7<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Mendler, and S. Scheele. 2011. \u201cCut-Free Gentzen Calculus for Multimodal CK.\u201d Information and Computation<\/i> 209.12: 1465\u201390. http:\/\/doi.org\/10.1016\/j.ic.2011.10.003<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Mendler, and S. Scheele. 2010. \u201cTowards Constructive DL for Abstraction and Refinement.\u201d Journal of Automated Reasoning<\/i> 44.3: 207\u201343. http:\/\/doi.org\/10.1007\/s10817-009-9151-8<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Mendler, and S. Scheele. 2009. \u201cTowards a Type System for Semantic Streams.\u201d In Proceedings of the 1st International Workshop on Stream Reasoning<\/i>, https:\/\/ceur-ws.org\/Vol-466\/<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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L. Heidrich, E. Slany, and S. Scheele. \u201cFairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction.\u201d Machine Learning and Knowledge Extraction<\/i> 5.4. http:\/\/doi.org\/10.3390\/make5040076<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
\n

Causality<\/h3>\n\n\n\n

Prof. Dr. Maike Stern<\/a><\/h6>\n\n\n\n
<\/div>\n\n\n
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Gr\u00fcnbaum, Daniel, Maike L. Stern, and Elmar W. Lang. 2023. \u201cQuantitative Probing: Validating Causal Models with Quantitative Domain Knowledge.\u201d Journal of Causal Inference<\/i> 11(1): 20220060. http:\/\/doi.org\/doi:10.1515\/jci-2022-0060<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Wankerl, Heribert, Christopher Wiesmann, Laura Kreiner, Rainer Butendeich, Alexander Luce, Sandra Sobczyk, Maike Lorena Stern, and Elmar Wolfgang Lang. 2022. \u201cDirectional Emission of White Light via Selective Amplification of Photon Recycling and Bayesian Optimization of Multi-Layer Thin Films.\u201d Scientific Reports<\/i> 12(1): 5226. http:\/\/doi.org\/10.1038\/s41598-022-08997-1<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
\n

Natural Language Processing<\/h3>\n\n\n\n

Prof. Dr. Timo Baumann<\/a><\/h6>\n\n\n\n
<\/div>\n\n\n
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S. M\u00fchlhausen, S. Gomez, N. Lauer, and T. Baumann. 2025. \u201cCross-Lingual Transfer Learning Does Not Improve Aphasic Speech Recognition.\u201d In Elektronische Sprachsignalverarbeitung 2025<\/i>,.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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D. M. Schenke, and T. Baumann. 2025. \u201cControlled Diversity: Length-Optimized Natural Language Generation.\u201d In Proceedings of the ISCA\/ITG Workshop on Diversity in Large Speech and Language Models<\/i>, http:\/\/doi.org\/10.48550\/arXiv.2502.19347<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. Baumann, K. Eller, and N. Gagarina. 2024. \u201cBERT-Based Annotation of Oral Texts Elicited via Multilingual Assessment Instrument for Narratives.\u201d In Proceedings of the 6th Workshop on Narrative Understanding (WNU)<\/i>, Association for Computational Linguistics. http:\/\/doi.org\/10.18653\/v1\/2024.wnu-1.16<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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V. Penzkofer, and T. Baumann. 2024. \u201cEvaluating and Fine-Tuning Retrieval-Augmented Language Models to Generate Text with Accurate Citations.\u201d In Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)<\/i>, Association for Computational Linguistic. https:\/\/aclanthology.org\/2024.konvens-main.6<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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C. Schuler, S. Nayak, D. Saha, and T. Baumann. 2024. \u201cCan We See Your Response Before You Speak? Exploring Linguistic Information Found in Inter-Utterance Pauses.\u201d In Elektronische Sprachsignalverarbeitung 2024, Tagungsband Der 35. Konferenz<\/i>, http:\/\/doi.org\/10.35096\/othr\/pub-7094<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. Baumann, H. Hussein, and B. Meyer-Sickendiek. 2023. \u201cFree Verse Prosodies: Identifying and Classifying Spoken Poetry Using Literary and Computational Perspectives (Rhythmicalizer).\u201d Mixing Methods: Practical Insights from the Humanities in the Digital Age<\/i>. http:\/\/doi.org\/10.1515\/9783839469132-018<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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D. Saha, S. Nayak, and T. Baumann. 2022. \u201cMerkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel\u2019s Weekly Video Podcasts.\u201d In Proceedings of LREC<\/i>, http:\/\/doi.org\/10.48550\/arXiv.2205.12194<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Nayak, C. Schuler, D. Saha, and T. Baumann. 2022. \u201cA Deep Dive Into Neural Synchrony Evaluation for Audio-Visual Translation.\u201d In International Conference on Multimodal Interaction<\/i>, Bengaluru India: ACM. http:\/\/doi.org\/10.1145\/3536221.3556621<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. Windbuhler, S. Okkesim, O. Christ, S. Mottaghi, S. Rastogi, M. Schmuker, T. Baumann, and U. G. Hofmann. 2022. \u201cMachine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings.\u201d In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)<\/i>, Glasgow, Scotland, United Kingdom: IEEE. http:\/\/doi.org\/10.1109\/EMBC48229.2022.9871702<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. Baumann, and S. Ashutosh. 2021. \u201cEvaluating Heuristics for Audio-Visual Translation.\u201d In Proceedings of the Conference on Computational Humanities Research 2021<\/i>, Amsterdam, Netherlands. http:\/\/ceur-ws.org\/Vol-2989\/short_paper46.pdf<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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N. Kr\u00fcger, K. Fischer, P. Manoonpong, O. Palinko, L. Bodenhagen, T. Baumann, J. Kj\u00e6rum, et al. 2021. \u201cThe SMOOTH-Robot: A Modular, Interactive Service Robot.\u201d Frontiers in Robotics and AI<\/i> 8. http:\/\/doi.org\/10.3389\/frobt.2021.645639<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Nayak, T. Baumann, S. Bhattacharya, A. Karakanta, M. Negri, and M. Turchi. 2020. \u201cSee Me Speaking? Differentiating on Whether Words Are Spoken On Screen or Off to Optimize Machine Dubbing.\u201d In Companion Publication of the 2020 International Conference on Multimodal Interaction<\/i>, Virtual Event Netherlands: ACM. http:\/\/doi.org\/10.1145\/3395035.3425640<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Computer Audition<\/h3>\n\n\n\n

Prof. Dr. Armin Sehr<\/a><\/h6>\n\n\n\n
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T. Himaya, A. Sehr, T. Yoshida, and S. Hangai. 2020. \u201cText\/Language-Independent Unknown Speaker Rejection Method Using LSP Codes.\u201d IEEE 9th Global Conference on Consumer Electronics (GCCE)<\/i>. http:\/\/doi.org\/10.1109\/GCCE50665.2020.9291835<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Maas, C. Huemmer, A. Sehr, and W. Kellermann. 2015. \u201cA Bayesian View on Acoustic Model-Based Techniques for Robust Speech Recognition.\u201d EURASIP Journal on Advances in Signal Processing<\/i>. http:\/\/doi.org\/10.1186\/s13634-015-0287-x<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Edge AI<\/h3>\n\n\n\n

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Quantum AI<\/h3>\n\n\n\n

Prof. Dr. Wolfgang Mauerer<\/a><\/h6>\n\n\n\n
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Mathematical Foundations of Neural Networks<\/h3>\n\n\n\n

Prof. Dr. Martin Wei\u00df<\/a><\/h6>\n\n\n\n
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Actuarial Science<\/h3>\n\n\n\n

Prof. Dr. Anja Schmiedt<\/a><\/h6>\n\n\n\n
<\/div>\n\n\n
\n\n\t\t11068376<\/span>\n\t\t<\/span>\n\t\tTQT8RZIA<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n\t\t1<\/span>\n\t\tapsa<\/span>\n\t\t50<\/span>\n\t\tdate<\/span>\n\t\tdesc<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n 2609<\/span>\n\t\thttps:\/\/rcai.de\/wp-content\/plugins\/zotpress\/<\/span>\n\n\t\t
\n\t\t\t
\n\t\t\t\t%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22N8UP33AG%22%2C%22library%22%3A%7B%22id%22%3A11068376%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22C.%20Empacher%20et%20al.%22%2C%22parsedDate%22%3A%222024%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BC.%20Empacher%2C%20U.%20Kamps%2C%20and%20A.%20B.%20Schmiedt.%202024.%20%26lt%3Bi%26gt%3BPrediction%20intervals%20for%20future%20Pareto%20record%20claims%26lt%3B%5C%2Fi%26gt%3B%2015%3A%20163%26%23x2013%3B97.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs13385-024-00397-1%26%23039%3B%26gt%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs13385-024-00397-1%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22C.%20Empacher%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22U.%20Kamps%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22A.%20B.%20Schmiedt%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222024%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1007%5C%2Fs13385-024-00397-1%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22TQT8RZIA%22%5D%2C%22dateModified%22%3A%222025-05-09T10%3A16%3A34Z%22%7D%7D%5D%7D<\/span>\n\n\t\t\t\t
\n
\n
C. Empacher, U. Kamps, and A. B. Schmiedt. 2024. Prediction intervals for future Pareto record claims<\/i> 15: 163\u201397. http:\/\/doi.org\/10.1007\/s13385-024-00397-1<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
\n

Statistics<\/h3>\n\n\n\n

Prof. Dr. Anja Schmiedt<\/a><\/h6>\n\n\n\n
<\/div>\n\n\n
\n\n\t\t11068376<\/span>\n\t\t<\/span>\n\t\tPZ6SNC7P<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n\t\t1<\/span>\n\t\tapsa<\/span>\n\t\t50<\/span>\n\t\tdate<\/span>\n\t\tdesc<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n 2609<\/span>\n\t\thttps:\/\/rcai.de\/wp-content\/plugins\/zotpress\/<\/span>\n\n\t\t
\n\t\t\t
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A. B. Schmiedt. 2016. \u201cDomains of Attraction of Asymptotic Distributions of Extreme Generalized Order Statistics.\u201d Communications in Statistics \u2013 Theory and Methods<\/i> 45(7): 2089\u20132104.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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E. Cramer, and A. B. Schmiedt. \u201cProgressively Type-II Censored Competing Risks Data from Lomax Distributions.\u201d Computational Statistics & Data Analysis<\/i> 55(3): 1285\u20131303. http:\/\/doi.org\/10.1016\/j.csda.2010.09.017<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. B. Schmiedt, H. H. Dickert, W. Bleck, and U. Kamps. \u201cMultivariate Extreme Value Analysis and Its Relevance in a Metallographical Application.\u201d Journal of Applied Statistics<\/i> 41(3): 582\u201395. http:\/\/doi.org\/10.1080\/02664763.2013.845872<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. B. Schmiedt, H. H. Dickert, W. Bleck, and U. Kamps. \u201cEvaluation of Maximum Non-Metallic Inclusion Sizes in Engineering Steels by Fitting a Generalized Extreme Value Distribution Based on Vectors of Largest Observations.\u201d Acta Materialia<\/i> 95: 1\u20139. http:\/\/doi.org\/10.1016\/j.actamat.2015.05.013<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. B. Schmiedt, and E. Cramer. \u201cGeneralized Ng-Kundu-Chan Model of Adaptive Progressive Type-II Censoring and Related Inference.\u201d Naval Research Logistics<\/i> 71(3): 389\u2013415. http:\/\/doi.org\/10.1002\/nav.22152<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A . B. Schmiedt, and C. Weiss. \u201cThe Pair Correlation Function of Multi-Dimensional Low-Discrepancy Sequences with Small Stochastic Error Terms.\u201d Journal of Number Theory<\/i> 259: 422\u201337. http:\/\/doi.org\/10.1016\/j.jnt.2023.12.011<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Software Engineering<\/h3>\n\n\n\n

Prof. Dr. Wolfgang Mauerer<\/a>
Prof. Dr. J\u00fcrgen Mottok<\/a><\/h6>\n\n\n\n
<\/div>\n\n\n
\n\n\t\t11068376<\/span>\n\t\t<\/span>\n\t\tC2U7C76X<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n\t\t1<\/span>\n\t\tapsa<\/span>\n\t\t50<\/span>\n\t\tdate<\/span>\n\t\tdesc<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n 2609<\/span>\n\t\thttps:\/\/rcai.de\/wp-content\/plugins\/zotpress\/<\/span>\n\n\t\t
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nferenceName%22%3A%22IEEE%20EDUCON%202016%22%2C%22date%22%3A%222016%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FEDUCON.2016.7474614%22%2C%22ISBN%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22C2U7C76X%22%5D%2C%22dateModified%22%3A%222024-04-01T23%3A07%3A56Z%22%7D%7D%2C%7B%22key%22%3A%22XBFCNAZE%22%2C%22library%22%3A%7B%22id%22%3A11068376%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22M.%20Joblin%20et%20al.%22%2C%22parsedDate%22%3A%222016%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BM.%20Joblin%2C%20S.%20Apel%2C%20and%20Wolfgang%20Mauerer.%202016.%20%26%23x201C%3BEvolutionary%20Trends%20of%20Developer%20Coordination%3A%20A%20Network%20Approach.%26%23x201D%3B%20%26lt%3Bi%26gt%3BEmpirical%20Software%20Engineering%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10664-016-9478-9%26%23039%3B%26gt%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10664-016-9478-9%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Evolutionary%20trends%20of%20developer%20coordination%3A%20a%20network%20approach%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20Joblin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Apel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22Wolfgang%20Mauerer%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222016%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1007%5C%2Fs10664-016-9478-9%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Farxiv.org%5C%2Fpdf%5C%2F1510.06988%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22C2U7C76X%22%5D%2C%22dateModified%22%3A%222023-02-08T16%3A08%3A26Z%22%7D%7D%2C%7B%22key%22%3A%22HDFRABPZ%22%2C%22library%22%3A%7B%22id%22%3A11068376%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22M.%20Joblin%20et%20al.%22%2C%22parsedDate%22%3A%222015%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BM.%20Joblin%2C%20W.%20Mauerer%2C%20S.%20Apel%2C%20J.%20Siegmund%2C%20and%20D.%20Riehle.%202015.%20%26%23x201C%3BFrom%20Developer%20Networks%20to%20Verified%20Communities%3A%20A%20Fine-Grained%20Approach.%26%23x201D%3B%20%26lt%3Bi%26gt%3B2015%20IEEE%5C%2FACM%2037th%20IEEE%20International%20Conference%20on%20Software%20Engineering%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2Ficse.2015.73%26%23039%3B%26gt%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2Ficse.2015.73%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22From%20Developer%20Networks%20to%20Verified%20Communities%3A%20A%20Fine-Grained%20Approach%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20Joblin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22W.%20Mauerer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Apel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22J.%20Siegmund%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22D.%20Riehle%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222015%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2Ficse.2015.73%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F7194606%5C%2F%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22C2U7C76X%22%5D%2C%22dateModified%22%3A%222023-02-08T16%3A08%3A50Z%22%7D%7D%5D%7D<\/span>\n\n\t\t\t\t
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W. Mauerer, S. Klessinger, and S. Scherzinger. 2022. \u201cBeyond the Badge: Reproducibility Engineering as a Lifetime Skill.\u201d In SEENG@International Conference on Software Engineering (ICSE)<\/i>, http:\/\/doi.org\/10.1145\/3528231.3528359<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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L. Grabinger, F. Hauser, and J. Mottok. 2022. \u201cAccessing the Presentation of Causal Graphs and an Application of Gestalt Principles with Eye Tracking.\u201d In In Proceedings of the 29th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2022)<\/i>, New York, NY, USA. http:\/\/doi.org\/10.1109\/SANER53432.2022.00153<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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W. Mauerer, M. Joblin, D. A. Tamburri, C. Paradis, R. Kazman, and Sven Apel. 2021. \u201cIn Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study.\u201d IEEE Transactions on Software Engineering<\/i>. http:\/\/doi.org\/10.1109\/TSE.2021.3082074<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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F. Hauser, S. Schreistetter, R. Reuter, J. Mottok, H. Gruber, K. Holmqvist, and N. Schorr. 2020. \u201cCode Reviews in C++: Preliminary Results from an Eye Tracking Study.\u201d In Proceedings of the ACM Eye Tracking Research and Application<\/i>, ACM, Stuttgart, Germany. http:\/\/doi.org\/10.1145\/3379156.3391980<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Ramsauer, L. Bulwahn, D. Lohmann, and W. Mauerer. 2020. \u201cThe Sound of Silence: Mining Security Vulnerabilities from Secret Integration Channels in Open-Source Projects.\u201d Proceedings of the 12th Cloud Computing Security Workshop (CCSW \u201920)<\/i>. http:\/\/doi.org\/10.1145\/3411495.3421360<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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W. Mauerer, and S. Scherzinger. 2020. \u201cEducating Future Software Architects in the Art and Science of Analysing Software Data.\u201d Proc. SEUH Workshop<\/i>. http:\/\/ceur-ws.org\/Vol-2531\/paper10.pdf<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Ramsauer, D. Lohmann, and W. Mauerer. 2019. \u201cThe List Is the Process: Reliable Pre-Integration Tracking of Commits on Mailing Lists.\u201d Proceedings of the 41st International Conference on Software Engineering (ICSE \u201919)<\/i>. http:\/\/doi.org\/10.1109\/ICSE.2019.00088<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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I. Hutzler, F. Hauser, R. Reuter, J. Mottok, and H. Gruber. 2018. \u201cWill the Noun\/Verb Analysis Be Used to Generate Class Diagrams? An Eye Tracking Study.\u201d In 11th Annual International Conference of Education, Research and Innovation<\/i>, Seville, Spain. http:\/\/doi.org\/10.21125\/iceri.2018.1103<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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F. Hauser, M. Rei\u00df, M. Nivala, J. Mottok, and H. Gruber. 2017. \u201cEye Tracking Applied: Visual Expertise in Code Reviews.\u201d In Barcelona, Spain. http:\/\/doi.org\/10.21125\/edulearn.2017.1084<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Joblin, S. Apel, C. Hunsen, and W. Mauerer. 2017. \u201cClassifying Developers into Core and Peripheral: An Empirical Study on Count and Network Metrics.\u201d 2017 IEEE\/ACM 39th International Conference on Software Engineering (ICSE)<\/i>. http:\/\/doi.org\/10.1109\/icse.2017.23<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Nivala, F. Hauser, J. Mottok, and H. Gruber. 2016. \u201cDeveloping Visual Expertise in Software Engineering: An Eye Tracking Study.\u201d In Proceedings of the IEEE EDUCON 2016<\/i>, Abu Dhabi, UAE. http:\/\/doi.org\/10.1109\/EDUCON.2016.7474614<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Joblin, S. Apel, and Wolfgang Mauerer. 2016. \u201cEvolutionary Trends of Developer Coordination: A Network Approach.\u201d Empirical Software Engineering<\/i>. http:\/\/doi.org\/10.1007\/s10664-016-9478-9<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Joblin, W. Mauerer, S. Apel, J. Siegmund, and D. Riehle. 2015. \u201cFrom Developer Networks to Verified Communities: A Fine-Grained Approach.\u201d 2015 IEEE\/ACM 37th IEEE International Conference on Software Engineering<\/i>. http:\/\/doi.org\/10.1109\/icse.2015.73<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Safety & Security<\/h3>\n\n\n\n

Prof. Dr. J\u00fcrgen Mottok<\/a><\/h6>\n\n\n\n
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N. Wei\u00df, E. Pozzobon, J. Mottok, and V. Matou\u0161ek. 2021. \u201cAutomated Reverse Engineering of CAN Protocols.\u201d Neural Network World<\/i>. http:\/\/doi.org\/10.14311\/NNW.2021.31.015<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. Rudolph, S. Voget, and J. Mottok. 2018. \u201cA Consistent Safety Case Argumentation for Artificial Intelligence in Safety Related Automotive Systems.\u201d In ERTS 2018<\/i>, Toulouse, France. https:\/\/hal.science\/hal-02156048<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Production<\/h4>\n\n\n\n
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Design<\/h3>\n\n\n\n

Prof. Dr. Marucs Wagner<\/a><\/h6>\n\n\n\n
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T. Lehrer, P. Stocker, F. Duddeck, and M. Wagner. 2025. \u201cDeep-Drawn U-Shaped Sheet Metal Mesh Files Excerpted from NHTSA Crash Vehicles.\u201d https:\/\/zenodo.org\/records\/14716577<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T.-J. Krause, M. Franke, I. Heinle, and M. Wagner. 2024. \u201cData Augmentation for Recorded Properties of Processed Materials in Industrial Production Processes for the Application of Machine Learning Models.\u201d In International Conference of Modelling, Data Analytics and AI in Engineering (MADEAI)<\/i>,.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Franke, and M. Wagner. 2024. \u201cTransient Simulations with Surrogate Elements.\u201d In International Conference of Modelling, Data Analytics and AI in Engineering (MADEAI)<\/i>,.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. Lehrer, A. Kaps, I. Lepenies, E. Raponi, M. Wagner, and F. Duddeck. 2024. \u201cComplementing Drawability Assessment of Deep-Drawn Components With Surrogate-Based Global Sensitivity Analysis.\u201d ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering<\/i> 10.3. http:\/\/doi.org\/10.1115\/1.4065143<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. Lehrer, P. Stocker, F. Duddeck, and M. Wagner. 2024. \u201cParametric CAD Models to Create an Infinite Number of Structural U-Shaped Sheet Metal Geometries.\u201d http:\/\/dx.doi.org\/10.5281\/zenodo.14191374<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Franke, and M. Wagner. 2024. \u201cTransient Surrogate Modeling of Modally Reduced Structures with Discontinuous Loads and Damping.\u201d Archive of Applied Mechanics<\/i> 94.6. http:\/\/doi.org\/10.1007\/s00419-024-02601-w<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. Kaps, T. Lehrer, I. Lepenies, M. Wagner, and F. Duddeck. 2023. \u201cMulti-Fidelity Optimization of Metal Sheets Concerning Manufacturability in Deep-Drawing Processes.\u201d Structural and Multidisciplinary Optimization<\/i> 66.8. http:\/\/doi.org\/10.1007\/s00158-023-03631-8<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Planning & Simulation<\/h3>\n\n\n\n

Prof. Dr. Jan D\u00fcnnweber<\/a>
Prof. Stefan Galka<\/a><\/h6>\n\n\n\n
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\n\n\t\t11068376<\/span>\n\t\t<\/span>\n\t\tK6X373UN<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n\t\t1<\/span>\n\t\tapsa<\/span>\n\t\t50<\/span>\n\t\tdate<\/span>\n\t\tdesc<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n 2609<\/span>\n\t\thttps:\/\/rcai.de\/wp-content\/plugins\/zotpress\/<\/span>\n\n\t\t
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J. Schneidewind, and S. Galka. 2023. \u201cInteractive Reinforcement Learning-Based Factory Layout Planning.\u201d In Proceedings of the 13th Conference on Learning Factories (CLF)<\/i>, http:\/\/doi.org\/10.2139\/ssrn.4469300<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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B. Rolf, T. Reggelin, S. Lang, and S. Galka. 2022. \u201cDeveloping a Decision Support System for Integrated Decision-Making in Purchasing and Scheduling under Lead Time Uncertainty.\u201d In Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)<\/i>, http:\/\/hdl.handle.net\/10125\/79579<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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D. Kauke, J. Fattner, and S. Galka. 2021. \u201cDigital Twins in Order Picking Systems for Operational Decision Support.\u201d In Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS)<\/i>, http:\/\/hdl.handle.net\/10125\/70812<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. Reggelin, S. Galka, S. Lang, and D. Ivanov. 2021. \u201cIntroduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0.\u201d In Proceedings of the 54th Hawaii International Conference on System Sciences<\/i>, http:\/\/hdl.handle.net\/10125\/70810<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Optimisation<\/h3>\n\n\n\n

Prof. Dr. Maike Stern<\/a><\/h6>\n\n\n\n
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H. Wankerl, C. Wiesmann, L. Kreiner, R. Butendeich, A. Luce, S. Sobczyk, M. Stern, and E. W. Lang. 2022. \u201cDirectional Emission of White Light via Selective Amplification of Photon Recycling and Bayesian Optimization of Multi-Layer Thin Films.\u201d Scientific Reports<\/i> 12(1): 5226. http:\/\/doi.org\/10.1038\/s41598-022-08997-1<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Stern, and M. Schellenberger. 2021. \u201cFully Convolutional Networks for Chip-Wise Defect Detection Employing Photoluminescence Images: Efficient Quality Control in LED Manufacturing.\u201d J. Intell. Manuf.<\/i> 32(1): 113\u201326. http:\/\/doi.org\/10.1007\/s10845-020-01563-4<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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H. Wankerl, M. Stern, A. Mahdavi, C. Eichler, and E. W. Lang. 2020. \u201cParameterized Reinforcement Learning for Optical System Optimization.\u201d Journal of Physics D: Applied Physics<\/i> 54. https:\/\/api.semanticscholar.org\/CorpusID:222291556<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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H. Wankerl, M. Stern, P. Altieri-Weimar, S. Al-Baddai, K.-J. Lang, F. Roider, and E. W. Lang. 2020. \u201cFully Convolutional Networks for Void Segmentation in X-Ray Images of Solder Joints.\u201d Journal of Manufacturing Processes<\/i> 57: 762\u201367. doi:https:\/\/doi.org\/10.1016\/j.jmapro.2020.07.021.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Stern, H. Lindberg, and K. Meyer-Wegener. 2020. \u201cRethinking Fully Convolutional Networks for the Analysis of Photoluminescence Wafer Images.\u201d CoRR<\/i> abs\/2003.00594. https:\/\/arxiv.org\/abs\/2003.00594<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Predictive Maintenance<\/h3>\n\n\n\n

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R. W\u00f6stmann, P. Schlunder, F. Temme, R. Klinkenberg, J. Kimberger, A. Spichtinger, M. Goldhacker, and J. Deuse. 2020. \u201cConception of a Reference Architecture for Machine Learning in the Process Industry.\u201d In 2020 IEEE International Conference on Big Data (Big Data)<\/i>, , 1726\u201335. http:\/\/doi.org\/10.1109\/BigData50022.2020.9378290<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Robotics and Control<\/h3>\n\n\n\n

Prof. Dr. Martin Wei\u00df<\/a><\/h6>\n\n\n\n
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M. Wei\u00df. 2021. \u201cOptimization of Cartesian Tasks with Configuration Selection.\u201d 2nd IMA Conference on Mathematics of Robotics<\/i>. http:\/\/doi.org\/10.1007\/978-3-030-91352-6_16<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. G. Wei\u00df. 2019. \u201cOptimal Object Placement Using a Virtual Axis.\u201d International Symposium on Advances in Robot Kinematics<\/i>. http:\/\/doi.org\/10.1007\/978-3-319-93188-3_14<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. G. Wei\u00df. 2015. \u201cA Class of 6R Robots and Poses with 16 Analytical Solutions.\u201d Proceedings of the IMA Conference on Mathematics of Robotics<\/i>. https:\/\/cdn.ima.org.uk\/wp\/wp-content\/uploads\/2017\/12\/Weiss-A-Class-of-6R-Robots-and-Poses-with-16-Analytical-Solutions.pdf<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Kurze, M. G. Wei\u00df, and M. Otter. 2006. \u201cMethods and Tools to Design and Test Robot Control Systems.\u201d 37th International Symposium on Robotics (ISR)<\/i>. https:\/\/www.researchgate.net\/publication\/224928821_Methods_and_Tools_to_Design_and_Test_Robot_Control_Systems<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Infrastructure<\/h4>\n\n\n\n
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Civil Engineering<\/h3>\n\n\n\n

Prof. Dr. Mathias Obergrie\u00dfer<\/a><\/h6>\n\n\n\n
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F. Eder, S. Hoeng, M. Schmailzl, T. Linner, and M. Obergrie\u00dfer. 2025. \u201cTowards Improving Data Interoperability for the Reconstruction of Existing Buildings.\u201d In Advances in Information Technology in Civil and Building\nEngineering: Proceedings of ICCCBE 2024<\/i>, http:\/\/doi.org\/10.1007\/978-3-031-84208-5_9<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Hoeng, F. Eder, M. Schmailzl, T. Linner, and M. Obergrie\u00dfer. 2025. \u201cExploring the Potential of BIM Models for Deriving Synthetic Training Data for Machine Learning Applications.\u201d In Advances in Information Technology in Civil and Building\nEngineering: Proceedings of ICCCBE 2024<\/i>, http:\/\/doi.org\/10.1007\/978-3-031-87364-5_5<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Energy<\/h3>\n\n\n\n

Prof. Dr. Jan D\u00fcnnweber<\/a><\/h6>\n\n\n\n
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M. Melzer, J. Dunnweber, and T. Baumann. 2022. \u201cTowards Smart Home Data Interpretation Using Analogies to Natural Language Processing.\u201d In 2022 IEEE International Conference on Smart Internet of Things (SmartIoT)<\/i>, http:\/\/doi.org\/10.1109\/SmartIoT55134.2022.00020<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Mobility<\/h4>\n\n\n\n
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Driver Assistance Systems<\/h3>\n\n\n\n

Prof. Dr. Johannes Reschke<\/a><\/h6>\n\n\n\n
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J. Reschke. 2021. \u201cFahrerintentionserkennung Zur Lichtbasierten Kommunikation Mit Fu\u00dfg\u00e4ngern.\u201d Doctoral thesis<\/i>. https:\/\/publikationen.bibliothek.kit.edu\/1000140184<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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J. Reschke, and M. Klau\u00dfner. 2021. \u201cExplicit and Implicit Communication for Automated Vehicles.\u201d In Proceedings of the 14th International Symposium on Automotive Lighting (ISAL)<\/i>, https:\/\/www.utzverlag.de\/assets\/pdf\/44953dbl.pdf<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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J. Reschke, S. Berlitz, and C. Neumann. 2020. \u201cPersonalised Neural Networks for a Driver Intention Prediction: Communication as Enabler for Automated Driving.\u201d Advanced Optical Technologies<\/i> 9(6). doi:https:\/\/doi.org\/10.1515\/aot-2020-0035.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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J. Reschke, T. H\u00f6\u00df, B. Schleyer, S. Berlitz, and C. Neumann. 2019. \u201cHow Vehicles Learn to Display Symbols to Pedestrians.\u201d In Proceedings of the 13th International Symposium on Automotive Lighting (ISAL)<\/i>, https:\/\/www.utzverlag.de\/catalog\/book\/44817<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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J. Reschke, S. Pr\u00f6sl, M. Hamm, and C. Neumann. 2018. \u201cAssistance System for Vehicle-Pedestrian-Interaction: Deep Learning and Driver Intention Prediction.\u201d In SIA VISION<\/i>, https:\/\/wiki.unece.org\/download\/attachments\/75531441\/AVSR-02-16e.pdf?api=v2<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Mobility Concepts<\/h3>\n\n\n\n

Prof. Dr. Simone Weikl<\/a>
Prof. Dr. Jan D\u00fcnnweber<\/a>
Prof. Dr. Stefan Galka<\/a><\/h6>\n\n\n\n
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J. V\u00f6lkl, A. Sarkar, M. Melzer, and J. D\u00fcnnweber. 2024. \u201cDynamic Route Planning for a Data Collecting Luggage Transport Service.\u201d In Proceedings of the 18th IEEE International\nConference on Control & Automation (ICCA)<\/i>, http:\/\/doi.org\/10.1109\/ICCA62789.2024.10591830<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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V. Dahmen, S. Weikl, and K. Bogenberger. 2024. \u201cInterpretable Machine Learning for Mode Choice Modeling on Tracking-Based Revealed Preference Data.\u201d Transportation Research Record: Journal of the Transportation Research Board.<\/i> http:\/\/doi.org\/10.1177\/03611981241246973<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Weikl, and P. Mayer. 2023. \u201cData-Driven Quality Assessment of Cycling Networks.\u201d Frontiers in Future Transportation<\/i>. http:\/\/doi.org\/10.3389\/ffutr.2023.1127742<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Rostami-Shahrbabak, S. Weikl, T. Niels, and K. Bogenberger. 2023. \u201cModeling Vehicle Flocking in Lane-Free Automated Traffic.\u201d Transportation Research Record: Journal of the Transportation Research Board.<\/i> http:\/\/doi.org\/10.1177\/03611981231159405<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Rostami-Shahrbabak, S. Weikl, M. Akbarzadeh, and K. Bogenberger. 2022. \u201cA Two-Layer Approach for Vehicular Flocking in Lane-Free Environment.\u201d In 11th Triennal Symposium on Transportation Analysis (TRISTAN)<\/i>, https:\/\/tristan2022.org\/proceedings<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1136%5C%2Fgutjnl-2019-319460%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22NEZ97PSI%22%5D%2C%22dateModified%22%3A%222023-02-08T18%3A15%3A05Z%22%7D%7D%2C%7B%22key%22%3A%22ACIZRRRF%22%2C%22library%22%3A%7B%22id%22%3A11068376%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22A.%20Ebigbo%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BA.%20Ebigbo%2C%20R.%20Mendel%2C%20T.%20R%26%23xFC%3Bckert%2C%20L.%20Schuster%2C%20A.%20Probst%2C%20J.%20Manzeneder%2C%20F.%20Prinz%2C%20et%20al.%202020.%20%26%23x201C%3BEndoscopic%20Prediction%20of%20Submucosal%20Invasion%20in%20Barrett%26%23x2019%3Bs%20Cancer%20with%20the%20Use%20of%20Artificial%20Intelligence%3A%20A%20Pilot%20Study.%26%23x201D%3B%20%26lt%3Bi%26gt%3BEndoscopy%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1055%5C%2Fa-1311-8570%26%23039%3B%26gt%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1055%5C%2Fa-1311-8570%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Endoscopic%20prediction%20of%20submucosal%20invasion%20in%20Barrett%27s%20cancer%20with%20the%20use%20of%20Artificial%20Intelligence%3A%20A%20pilot%20Study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22A.%20Ebigbo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22R.%20Mendel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22T.%20R%5Cu00fcckert%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22L.%20Schuster%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22A.%20Probst%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22J.%20Manzeneder%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22F.%20Prinz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20Mende%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22I.%20Steinbr%5Cu00fcck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Faiss%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22D.%20Rauber%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22L.%20A.%20de%20Souza%20Jr.%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22J.%20P.%20Papa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22P.%20Deprez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22T.%20Oyama%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22A.%20Takahashi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Seewald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22P.%20Sharma%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20F.%20Byrne%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22C.%20Palm%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22H.%20Messmann%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222020%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1055%5C%2Fa-1311-8570%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22NEZ97PSI%22%5D%2C%22dateModified%22%3A%222023-02-08T18%3A25%3A39Z%22%7D%7D%5D%7D<\/span>\n\n\t\t\t\t
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M. W. Scheppach, R. Mendel, A. Muzalyova, D. Rauber, A. Probst, S. Nagl, C. R\u00f6mmele, et al. 2025. \u201cArtificial Intelligence Improves Submucosal Vessel Detection during Third Space Endoscopy.\u201d Endoscopy<\/i>. http:\/\/doi.org\/10.1055\/a-2534-1164<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Hartmann, M. Weiherer, F. Nieberle, C. Palm, V. Br\u00e9bant, L. Prantl, P. Lamby, et al. 2025. \u201cEvaluating Smartphone-Based 3D Imaging Techniques for Clinical Application in Oral and Maxillofacial Surgery: A Comparative Study with the Vectra M5.\u201d Oral and Maxillofacial Surgery<\/i> 29. http:\/\/doi.org\/10.1007\/s10006-024-01322-2<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Weiherer, A. v. Riedheim, V. Br\u00e9bant, B. Egger, and C. Palm. 2025. \u201ciRBSM: A Deep Implicit 3D Breast Shape Model.\u201d<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Mendel, T. Rueckert, D. Wilhelm, D. Rueckert, and C. Palm. 2024. \u201cMotion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation.\u201d Fakult\u00e4t Informatik und Mathematik. 10.48550\/arXiv.2403.03120<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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E. Schulze, C. Palm, M. Kerschbaum, R. Seidel, L. Lehmann, M. Koller, and A. Pfingsten. 2024. \u201cKI-Gest\u00fctzte Untersuchung in Der Nicht-Operativen Versorgung Symptomgebender Erkrankungen Des Kniegelenks - Ein Multiprofessionelles Konzept (KINEESIO).\u201d MSK - Muskuloskelettale Physiotherapie<\/i> 28(5): 312\u201321. http:\/\/doi.org\/10.1055\/a-2402-9982<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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D. Roser, M. Meinikheim, R. Mendel, C. Palm, A. Muzalyova, D. Rauber, T. R\u00fcckert, et al. 2024. \u201cMensch-Maschine-Interaktion: Einfluss K\u00fcnstlicher Intelligenz Auf Das Diagnostische Vertrauen von Endoskopikern Bei Der Beurteilung Des Barrett-\u00d6sophagus.\u201d In Zeitschrift F\u00fcr Gastroenterologie<\/i>, , e575\u201376. http:\/\/doi.org\/10.1055\/s-0044-1789656<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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L. A. Souza, A. G. C. Pacheco, G. G. d. Angelo, T. Oliveira-Santos, C. Palm, and J. P. Papa. 2024. \u201cLiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection.\u201d In 2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Manaus, Brazil, 9\/30\/2024 - 10\/3\/2024<\/i>, , 1\u20136. http:\/\/doi.org\/10.1109\/SIBGRAPI62404.2024.10716324<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Scheppach, R. Mendel, A. Muzalyova, D. Rauber, A. Probst, S. Nagl, C. R\u00f6mmele, et al. 2024. \u201cK\u00fcnstliche Intelligenz Erh\u00f6ht Die Gef\u00e4\u00dferkennung von Endoskopikern Bei Third Space Endoskopie.\u201d In Zeitschrift F\u00fcr Gastroenterologie<\/i>, , e830. http:\/\/doi.org\/10.1055\/s-0044-1790087<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Scheppach, D. W. Nunes, X. Arizi, D. Rauber, A. Probst, S. Nagl, C. R\u00f6mmele, et al. 2024. \u201cIntraoperative Phasenerkennung Bei Endoskopischer Submukosadissektion Mit Hilfe von K\u00fcnstlicher Intelligenz.\u201d In Zeitschrift F\u00fcr Gastroenterologie<\/i>, , e828. http:\/\/doi.org\/10.1055\/s-0044-1790084<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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L. A. de Souza, L. A. Passos, M. C. S. Santana, R. Mendel, R. Rauber, A. Ebigbo, A. Probst, et al. 2024. \u201cLayer-Selective Deep Representation to Improve Esophageal Cancer Classification.\u201d Medical & Biological Engineering & Computing<\/i>. http:\/\/doi.org\/10.1007\/s11517-024-03142-8<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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D. A. Roser, M. Meinikheim, R. Mendel, C. Palm, A. Probst, A. Muzalyova, M. W. Scheppach, et al. 2024. \u201cHuman-Computer Interaction: Impact of Artificial Intelligence on the Diagnostic Confidence of Endoscopists Assessing Videos of Barrett\u2019s Esophagus.\u201d In Endoscopy<\/i>, , 79. http:\/\/doi.org\/10.1055\/s-0044-1782859<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Meinikheim, R. Mendel, C. Palm, A. Probst, A. Muzalyova, M. W. Scheppach, S. Nagl, et al. 2024. \u201cInfluence of Artificial Intelligence on the Diagnostic Performance of Endoscopists in the Assessment of Barrett\u2019s Esophagus: A Tandem Randomized and Video Trial.\u201d Endoscopy<\/i> 56: 641\u201349. http:\/\/doi.org\/10.1055\/a-2296-5696<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. W. Scheppach, D. W. Nunes, X. Arizi, D. Rauber, A. Probst, S. Nagl, C. R\u00f6mmele, et al. 2024. \u201cProcedural Phase Recognition in Endoscopic Submucosal Dissection (ESD) Using Artificial Intelligence (AI).\u201d In Endoscopy<\/i>, , S439. http:\/\/doi.org\/10.1055\/s-0044-1783804<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. W. Scheppach, R. Mendel, D. Rauber, A. Probst, S. Nagl, C. R\u00f6mmele, M. Meinikheim, et al. 2024. \u201cArtificial Intelligence (AI) Improves Endoscopists\u2019 Vessel Detection during Endoscopic Submucosal Dissection (ESD).\u201d In Endoscopy<\/i>, , S93. http:\/\/doi.org\/10.1055\/s-0044-1782891<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. Ebigbo, D. Rauber, M. Ayoub, L. Birzle, T. Matsumura, A. Probst, I. Steinbr\u00fcck, et al. 2024. \u201cEarly Esophageal Cancer and the Generalizability of Artificial Intelligence.\u201d In Endoscopy<\/i>, , S428. http:\/\/doi.org\/10.1055\/s-0044-1783775<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Zellmer, D. Rauber, A. Probst, T. Weber, G. Braun, C. R\u00f6mmele, S. Nagl, et al. 2024. \u201cArtificial Intelligence as a Tool in the Detection of the Papillary Ostium during ERCP.\u201d In Endoscopy<\/i>, , S198. http:\/\/doi.org\/10.1055\/s-0044-1783138<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Meinikheim, R. Mendel, C. Palm, A. Probst, A. Muzalyova, M. W. Scheppach, S. Nagl, et al. 2024. \u201cEffect of AI on Performance of Endoscopists to Detect Barrett Neoplasia: A Randomized Tandem Trial.\u201d<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Hartmann, F. Nieberle, C. Palm, V. Br\u00e9bant, L. Prantl, R. Kuehle, T. E. Reichert, J. Taxis, and T. Ettl. 2024. \u201cUtility of Smartphone-Based Three-Dimensional Surface Imaging for Digital Facial Anthropometry.\u201d JPRAS Open<\/i> 39: 330\u201343. http:\/\/doi.org\/10.1016\/j.jpra.2024.01.014<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. Rueckert, M. Rieder, H. Feussner, D. Wilhelm, D. Rueckert, and C. Palm. 2024. \u201cSmoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-Temporal Information.\u201d In Bildverarbeitung F\u00fcr Die Medizin 2024: Proceedings, German Workshop on Medical Image Computing, March 10-12, 2024, Erlangen<\/i>, eds. Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, and Thomas Tolxdorff. , 298\u2013303. http:\/\/doi.org\/10.1007\/978-3-658-44037-4_78<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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L. A. Souza Jr., A. G.C. Pacheco, L. A. Passos, M. C. S. Santana, R. Mendel, A. Ebigbo, A. Probst, et al. 2024. \u201cDeepCraftFuse: Visual and Deeply-Learnable Features Work Better Together for Esophageal Cancer Detection in Patients with Barrett\u2019s Esophagus.\u201d Neural Computing and Applications<\/i>. http:\/\/doi.org\/10.1007\/s00521-024-09615-z<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Gutbrod, B. Geisler, D. Rauber, and C. Palm. 2024. \u201cData Augmentation for Images of Chronic Foot Wounds.\u201d In Bildverarbeitung F\u00fcr Die Medizin 2024: Proceedings, German Workshop on Medical Image Computing, March 10-12, 2024, Erlangen<\/i>, eds. Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, and Thomas Tolxdorff. , 261\u201366. http:\/\/doi.org\/10.1007\/978-3-658-44037-4_71<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Hammer, D. W. Nunes, M. Hammer, F. Zeman, M. Akers, A. G\u00f6tz, A. Balla, et al. 2024. \u201cDeep Learning-Based Differentiation of Peripheral High-Flow and Low-Flow Vascular Malformations in T2-Weighted Short Tau Inversion Recovery MRI.\u201d Clinical hemorheology and microcirculation<\/i>: 1\u201315. http:\/\/doi.org\/10.3233\/CH-232071<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. R\u00fcckert, D. R\u00fcckert, and C. Palm. 2024. \u201cMethods and Datasets for Segmentation of Minimally Invasive Surgical Instruments in Endoscopic Images and Videos: A Review of the State of the Art.\u201d Computers in Biology and Medicine<\/i> 169. http:\/\/doi.org\/10.1016\/j.compbiomed.2024.107929<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Meinikheim, R. Mendel, A. Probst, M. W. Scheppach, E. Schnoy, S. Nagl, C. R\u00f6mmele, et al. 2023. \u201cAI-Assisted Detection and Characterization of Early Barrett\u2019s Neoplasia: Results of an Interim Analysis.\u201d In Endoscopy<\/i>, http:\/\/doi.org\/10.1055\/s-0043-1765437<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. W. Scheppach, D. Rauber, J. Stallhofer, A. Muzalyova, V. Otten, C. Manzeneder, T. Schwamberger, et al. 2023. \u201cPerformance Comparison of a Deep Learning Algorithm with Endoscopists in the Detection of Duodenal Villous Atrophy (VA).\u201d In Endoscopy<\/i>, http:\/\/doi.org\/10.1055\/s-0043-1765421<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. W. Scheppach, R. Mendel, A. Probst, D. Rauber, T. Rueckert, M. Meinikheim, C. Palm, H. Messmann, and A. Ebigbo. 2023. \u201cReal-Time Detection and Delineation of Tissue during Third-Space Endoscopy Using Artificial Intelligence (AI).\u201d In Endoscopy<\/i>, , S53\u201354. http:\/\/doi.org\/10.1055\/s-0043-1765128<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. R\u00fcckert, M. Rieder, D. Rauber, M. Xiao, E. Humolli, H. Feussner, D. Wilhelm, and C. Palm. 2023. \u201cAugmenting Instrument Segmentation in Video Sequences of Minimally Invasive Surgery by Synthetic Smoky Frames.\u201d In International Journal of Computer Assisted Radiology and Surgery<\/i>, , S54\u201356. http:\/\/doi.org\/10.1007\/s11548-023-02878-2<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. W. Scheppach, R. Mendel, A. Probst, S. Nagl, M. Meinikheim, H. C. Yip, L. H. S. Lau, et al. 2023. \u201cEffekt Eines K\u00fcnstliche Intelligenz (KI) - Algorithmus Auf Die Gef\u00e4\u00dfdetektion Bei Third Space Endoskopien.\u201d In Zeitschrift F\u00fcr Gastroenterologie<\/i>, http:\/\/doi.org\/10.1055\/s-0043-1771980<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Zellmer, D. Rauber, A. Probst, T. Weber, Sandra S. Nagl, C. R\u00f6mmele, E. Schnoy, et al. 2023. \u201cVerwendung K\u00fcnstlicher Intelligenz Bei Der Detektion Der Papilla Duodeni Major.\u201d In Zeitschrift F\u00fcr Gastroenterologie<\/i>, http:\/\/doi.org\/10.1055\/s-0043-1772000<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Meinikheim, R. Mendel, A. Probst, M. W. Scheppach, S. Nagl, E. Schnoy, C. R\u00f6mmele, et al. 2023. \u201cEinfluss von K\u00fcnstlicher Intelligenz Auf Die Performance von Niedergelassenen Gastroenterolog:Innen Bei Der Beurteilung von Barrett-\u00d6sophagus.\u201d In Zeitschrift F\u00fcr Gastroenterologie<\/i>, http:\/\/doi.org\/10.1055\/s-0043-1771711<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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C. Palm. 2023. \u201cHistory, Core Concepts, and Role of AI in Clinical Medicine.\u201d In AI in Clinical Medicine: A Practical Guide for Healthcare Professionals<\/i>, eds. M. F. Byrne, N. Parsa, A. T. Greenhill, D. Chahal, O. Ahmad, and U. Bargci. https:\/\/doi.org\/10.1002\/9781119790686.ch5<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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J. Frikel, and P. Bauer. 2023. \u201cA Deep Learning Based \u03c1-Filtered Layergram Reconstruction Method for Computed Tomography.\u201d In 21st International Conference of Numerical Analysis and Applied Mathematics<\/i>,.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Mendel, D. Rauber, and C. Palm. 2023. \u201cExploring the Effects of Contrastive Learning on Homogeneous Medical Image Data.\u201d In Bildverarbeitung F\u00fcr Die Medizin 2023: Proceedings, German Workshop on Medical Image Computing, July 2- 4, 2023, Braunschweig<\/i>, , 128\u201313. http:\/\/doi.org\/10.1007\/978-3-658-41657-7<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. W. Scheppach, D. Rauber, J. Stallhofer, A. Muzalyova, V. Otten, C. Manzeneder, T. Schwamberger, et al. 2023. \u201cDetection of Duodenal Villous Atrophy on Endoscopic Images Using a Deep Learning Algorithm.\u201d Gastrointestinal Endoscopy<\/i>. http:\/\/doi.org\/10.1016\/j.gie.2023.01.006<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Mendel, D. Rauber, L. A. de Souza Jr., J. P. Papa, and C. Palm. 2023. \u201cError-Correcting Mean-Teacher: Corrections Instead of Consistency-Targets Applied to Semi-Supervised Medical Image Segmentation.\u201d Computers in Biology and Medicine<\/i>. http:\/\/doi.org\/10.1016\/j.compbiomed.2023.106585<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. Ebigbo, R. Mendel, M. W. Scheppach, A. Probst, N. Shahidi, F. Prinz, C. Fleischmann, et al. 2022. \u201cVessel and Tissue Recognition during Third-Space Endoscopy Using a Deep Learning Algorithm.\u201d Gut<\/i>. http:\/\/doi.org\/10.1136\/gutjnl-2021-326470<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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C. R\u00f6mmele, R. Mendel, C. Barrett, H. Kiesl, D. Rauber, T. R\u00fcckert, L. Kraus, et al. 2022. \u201cAn Artificial Intelligence Algorithm Is Highly Accurate for Detecting Endoscopic Features of Eosinophilic Esophagitis.\u201d Scientific Reports<\/i>. http:\/\/doi.org\/10.1038\/s41598-022-14605-z<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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L. A. de Souza Jr., R. Mendel, S. Strasser, A. Ebigbo, A. Probst, H. Messmann, J. P. Papa, and C. Palm. 2021. \u201cConvolutional Neural Networks for the Evaluation of Cancer in Barrett\u2019s Esophagus: Explainable AI to Lighten up the Black-Box.\u201d Computers in Biology and Medicine<\/i>. http:\/\/doi.org\/10.1016\/j.compbiomed.2021.104578<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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J. Arribas, G. Antonelli, L. Frazzoni, L. Fuccio, A. Ebigbo, F. v. d. Sommen, N. Ghatwary, et al. 2021. \u201cStandalone Performance of Artificial Intelligence for Upper GI Neoplasia: A Meta-Analysis.\u201d Gut<\/i>. http:\/\/doi.org\/10.1136\/gutjnl-2020-321922<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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R. Mendel, L. A. de Souza Jr., D. Rauber, J. P. Papa, and C. Palm. 2020. \u201cSemi-Supervised Segmentation Based on Error-Correcting Supervision.\u201d European Conference on Computer Vision (ECCV)<\/i>. http:\/\/doi.org\/10.1007\/978-3-030-58526-6_9<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. Ebigbo, R. Mendel, A. Probst, J. Manzeneder, F. Prinz, L. A. de Souza Jr., J. P. Papa, C. Palm, and H. Messmann. 2020. \u201cReal-Time Use of Artificial Intelligence in the Evaluation of Cancer in Barrett\u2019s Oesophagus.\u201d Gut<\/i>. http:\/\/doi.org\/10.1136\/gutjnl-2019-319460<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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A. Ebigbo, R. Mendel, T. R\u00fcckert, L. Schuster, A. Probst, J. Manzeneder, F. Prinz, et al. 2020. \u201cEndoscopic Prediction of Submucosal Invasion in Barrett\u2019s Cancer with the Use of Artificial Intelligence: A Pilot Study.\u201d Endoscopy<\/i>. http:\/\/doi.org\/10.1055\/a-1311-8570<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Digital Models of the Human Body<\/h3>\n\n\n\n

Prof. Dr. Sebastian Dendorfer<\/a>
Prof. Dr. Lars Krenkel<\/a>
Prof. Dr. Christoph Palm<\/a><\/h6>\n\n\n\n
<\/div>\n\n\n
\n\n\t\t11068376<\/span>\n\t\t<\/span>\n\t\tB6XJ7VVG<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n\t\t1<\/span>\n\t\tapsa<\/span>\n\t\t50<\/span>\n\t\tdate<\/span>\n\t\tdesc<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n 2609<\/span>\n\t\thttps:\/\/rcai.de\/wp-content\/plugins\/zotpress\/<\/span>\n\n\t\t
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C. Birkenmeier. 2020. \u201cA Hybrid Computational Approach for Non-Newtonian Blood Flows Using Euler-Euler Modelling and Deep Regression.\u201d Doctoral thesis<\/i>. https:\/\/books.google.de\/books?id=VA3yzgEACAAJ<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Aurbach, J. \u0160pi\u010dka, F. S\u00fc\u00df, and S. Dendorfer. 2020. \u201cEvaluation of Musculoskeletal Modelling Parameters of the Shoulder Complex during Humeral Abduction above 90\u00b0.\u201d Journal of Biomechanics<\/i>. http:\/\/doi.org\/10.1016\/j.jbiomech.2020.109817<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Neuroimaging\/Brain Computer Interface<\/h3>\n\n\n\n

Prof. Dr. Markus Goldhacker<\/a><\/h6>\n\n\n\n
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C%20M.%20Goldhacker%2C%20S.%20Brandl-R%26%23xFC%3Bhle%2C%20and%20M.%20W.%20Greenlee.%202014.%20%26%23x201C%3BPerceptual%20Learning%20in%20Patients%20with%20Macular%20Degeneration.%26%23x201D%3B%20%26lt%3Bi%26gt%3BFrontiers%20in%20Psychology%26lt%3B%5C%2Fi%26gt%3B%205.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3389%5C%2Ffpsyg.2014.01189%26%23039%3B%26gt%3Bhttp%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3389%5C%2Ffpsyg.2014.01189%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Perceptual%20learning%20in%20patients%20with%20macular%20degeneration%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22T.%20Plank%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22K.%20Rosengarth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22C.%20Schmalhofer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20Goldhacker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Brandl-R%5Cu00fchle%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20W.%20Greenlee%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222014%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3389%5C%2Ffpsyg.2014.01189%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22F4D9IJDK%22%5D%2C%22dateModified%22%3A%222023-12-13T19%3A35%3A21Z%22%7D%7D%5D%7D<\/span>\n\n\t\t\t\t
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S. Wein, G. Deco, A. M. Tom\u00e9, M. Goldhacker, W. M. Malloni, M. W. Greenlee, and E. W. Lang. 2021. \u201cBrain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning\u201d ed. P. Aric\u00f2. Computational Intelligence and Neuroscience<\/i> 2021. http:\/\/doi.org\/10.1155\/2021\/5573740<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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C. Ott, K. Rosengarth, C. Doenitz, J. Hoehne, C. Wendl, F. Dodoo-Schittko, E. Lang, N. O. Schmidt, and M. Goldhacker. 2021. \u201cPreoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging.\u201d Journal of Personalized Medicine<\/i> 11. http:\/\/doi.org\/10.3390\/jpm11121342<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Wein, A. M. Tom\u00e9, M. Goldhacker, M. W. Greenlee, and E. W. Lang. 2020. \u201cA Constrained ICA-EMD Model for Group Level fMRI Analysis.\u201d Frontiers in Neuroscience<\/i> 14. http:\/\/doi.org\/10.3389\/fnins.2020.00221<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Goldhacker, A. M. Tom\u00e9, M. W. Greenlee, and E. W. Lang. 2018. \u201cFrequency-Resolved Dynamic Functional Connectivity Reveals Scale-Stable Features of Connectivity-States.\u201d Frontiers in Human Neuroscience<\/i> 12. http:\/\/doi.org\/10.3389\/fnhum.2018.00253<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Goldhacker, P. Keck, A. Igel, E. W. Lang, and A. M. Tom\u00e9. 2017. \u201cA Multi-Variate Blind Source Separation Algorithm.\u201d Computer Methods and Programs in Biomedicine<\/i> 151. http:\/\/doi.org\/10.1016\/j.cmpb.2017.08.019<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M.-C. Fellner, G. Volberg, K. J. Mullinger, M. Goldhacker, M. Wimber, M. W. Greenlee, and S. Hanslmayr. 2016. \u201cSpurious Correlations in Simultaneous EEG-fMRI Driven by in-Scanner Movement.\u201d NeuroImage<\/i> 133. http:\/\/doi.org\/10.1016\/j.neuroimage.2016.03.031<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M.-C. Fellner, G. Volberg, M. Wimber, M. Goldhacker, M. W. Greenlee, and S. Hanslmayr. 2016. \u201cSpatial Mnemonic Encoding: Theta Power Decreases and Medial Temporal Lobe BOLD Increases Co-Occur during the Usage of the Method of Loci.\u201d eNeuro<\/i> 3(6). http:\/\/doi.org\/10.1523\/ENEURO.0184-16.2016<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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K. Al-Subari, S. Al-Baddai, A. M. Tom\u00e9, M. Goldhacker, R. Faltermeier, and E. W. Lang. 2015. \u201cEMDLAB: A Toolbox for Analysis of Single-Trial EEG Dynamics Using Empirical Mode Decomposition.\u201d Journal of Neuroscience Methods<\/i> 253. http:\/\/doi.org\/10.1016\/j.jneumeth.2015.06.020<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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M. Goldhacker, K. Rosengarth, T. Plank, and M. W. Greenlee. 2014. \u201cThe Effect of Feedback on Performance and Brain Activation during Perceptual Learning.\u201d Vision Research<\/i> 99. http:\/\/doi.org\/10.1016\/j.visres.2013.11.010<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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T. Plank, K. Rosengarth, C. Schmalhofer, M. Goldhacker, S. Brandl-R\u00fchle, and M. W. Greenlee. 2014. \u201cPerceptual Learning in Patients with Macular Degeneration.\u201d Frontiers in Psychology<\/i> 5. http:\/\/doi.org\/10.3389\/fpsyg.2014.01189<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n<\/div>\n\n\n\n
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Ethical, Legal and Social Aspects<\/h4>\n\n\n\n
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Empirical Social Research<\/h3>\n\n\n\n

Prof. Dr. Sonja Haug<\/a><\/h6>\n\n\n\n
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.%22%2C%22parsedDate%22%3A%222016%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BD.%20Franz%2C%20U.%20Katzky%2C%20S.%20Neumann%2C%20J.%20Perret%2C%20M.%20Hofer%2C%20M.%20Huber%2C%20S.%20Schmitt-R%26%23xFC%3Bth%2C%20et%20al.%202016.%20%26%23x201C%3BHaptisches%20Lernen%20F%26%23xFC%3Br%20Cochlea%20Implantationen.%20Konzept%20HaptiVisT-Projekt.%26%23x201D%3B%20%26lt%3Bi%26gt%3B15.%20Jahrestagung%20der%20Deutschen%20Gesellschaft%20f%26%23xFC%3Br%20Computer-%20und%20Roboterassistierte%20Chirurgie%20%28CURAC%29%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fcurac.org%5C%2Fimages%5C%2Fadvportfoliopro%5C%2Fimages%5C%2FCURAC2016%5C%2FCURAC%25202016%2520Tagungsband.pdf%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fcurac.org%5C%2Fimages%5C%2Fadvportfoliopro%5C%2Fimages%5C%2FCURAC2016%5C%2FCURAC%25202016%2520Tagungsband.pdf%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Haptisches%20Lernen%20f%5Cu00fcr%20Cochlea%20Implantationen.%20Konzept%20HaptiVisT-Projekt%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22D.%20Franz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22U.%20Katzky%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Neumann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22J.%20Perret%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20Hofer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20Huber%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Schmitt-R%5Cu00fcth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Haug%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22K.%20Weber%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22M.%20Prinzen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22C.%20Palm%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22T.%20Wittenberg%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222016%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fcurac.org%5C%2Fimages%5C%2Fadvportfoliopro%5C%2Fimages%5C%2FCURAC2016%5C%2FCURAC%25202016%2520Tagungsband.pdf%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%228FIZ6QUK%22%5D%2C%22dateModified%22%3A%222024-04-01T23%3A05%3A43Z%22%7D%7D%2C%7B%22key%22%3A%222JSTM2U3%22%2C%22library%22%3A%7B%22id%22%3A11068376%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22S.%20Haug%20et%20al.%22%2C%22parsedDate%22%3A%222016%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BS.%20Haug%2C%20L.%20Glashauser%2C%20B.%20Gro%26%23xDF%3Bmann%2C%20C.%20Pohlt%2C%20T.%20Schlegl%2C%20A.%20Wackerbarth%2C%20and%20K.%20Weber.%202016.%20%26%23x201C%3BGamification%20Im%20Anlernprozess%20Am%20Industriearbeitsplatz%20%26%23x2013%3B%20Ein%20Inklusiver%20Ansatz.%20Studie%20Zur%20Entwicklung%20Eines%20Anlerntutorials%20F%26%23xFC%3Br%20Ein%20Gestengesteuertes%20Teilautomatisiertes%20Assistenzsystem.%26%23x201D%3B%20%26lt%3Bi%26gt%3BTechnische%20Unterst%26%23xFC%3Btzungssysteme%2C%20die%20die%20Menschen%20wirklich%20wollen%2C%20Proceedingsband%26lt%3B%5C%2Fi%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Gamification%20im%20Anlernprozess%20am%20Industriearbeitsplatz%20%5Cu2013%20ein%20inklusiver%20Ansatz.%20Studie%20zur%20Entwicklung%20eines%20Anlerntutorials%20f%5Cu00fcr%20ein%20gestengesteuertes%20teilautomatisiertes%20Assistenzsystem%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22S.%20Haug%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22L.%20Glashauser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22B.%20Gro%5Cu00dfmann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22C.%20Pohlt%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22T.%20Schlegl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22A.%20Wackerbarth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22K.%20Weber%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222016%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%228FIZ6QUK%22%5D%2C%22dateModified%22%3A%222023-05-30T12%3A01%3A23Z%22%7D%7D%5D%7D<\/span>\n\n\t\t\t\t
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D. Frommeld, S. Haug, E. Currle, and K. Weber. 2022. \u201cTelepr\u00e4senzroboter in Der Schlaganfallrehabilitation.\u201d Pflegezeitschrift<\/i>. http:\/\/doi.org\/10.1007\/s41906-022-1251-7<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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U. Scorna, D. Frommeld, S. Haug, and K. Weber. 2022. \u201cDigitale Assistenzsysteme in Der Altenpflege \u2013 Fluch Oder Segen? Eine Empirische Untersuchung Zu Chancen, Risiken Und Auswirkungen.\u201d In Organisationen in Zeiten Der Digitalisierung<\/i>, https:\/\/link.springer.com\/10.1007\/978-3-658-36514-1_12<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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U. Scorna, D. Frommeld, S. Haug, and K. Weber. 2022. \u201cDigitale Technik in Der Pflege Als Generall\u00f6sung? Neue Perspektiven Auf Altersgerechte Assistenzsysteme.\u201d In Gegenwart Und Zukunft Sozialer Dienstleistungsarbeit. Chancen Und Risiken Der Digitalisierung in Der Sozialwirtschaft.<\/i>, Springer VS.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Haug. 2021. \u201cNutzung, Planung Und Bewertung Digitaler Assistenzsysteme in Der Pflege: Ergebnisse Einer Befragung von F\u00fchrungskr\u00e4ften in Ambulanten Und Station\u00e4ren Einrichtungen.\u201d In Gute Technik F\u00fcr Ein Gutes Leben Im Alter?<\/i>, http:\/\/doi.org\/10.1515\/9783839454695-008<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Haug, and M. Vetter. 2021. \u201cAltersgerechtes Wohnen Im Quartier: Das Beispiel Margaretenau Regensburg.\u201d http:\/\/doi.org\/10.1007\/s00548-020-00678-3<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Haug, M. Vetter, and K. Weber. 2020. \u201cGeb\u00e4udesanierung Zwischen Energieeffizienz Und Sozialvertr\u00e4glichkeit: Zwei Empirische Fallstudien.\u201d TATuP - Zeitschrift f\u00fcr Technikfolgenabsch\u00e4tzung in Theorie und Praxis<\/i>. http:\/\/doi.org\/10.14512\/tatup.29.3.56<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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U. Scorna, K. Weber, and S. Haug. 2018. \u201cELSI in Serious Games F\u00fcr Die Technikunterst\u00fctzte Medizinische Ausbildung: Das Beispiel HaptiVisT.\u201d Technische Unterst\u00fctzungssysteme, die die Menschen wirklich wollen. Konferenzband<\/i>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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K. Weber, and S. Haug. 2018. \u201cIst Automatisiertes Fahren Nachhaltig?\u201d Zeitschrift f\u00fcr Technikfolgenabsch\u00e4tzung in Theorie und Praxis (TATuP)<\/i>. http:\/\/doi.org\/10.14512\/tatup.27.2.16<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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J. H\u00f6cherl, S. Niedersteiner, S. Haug, C. Pohlt, T. Schlegl, K. Weber, and T. Berlehner. 2016. \u201cSmart Workbench: Ein Multimodales Und Bidirektionales Assistenzsystem F\u00fcr Den Industriellen Einsatz.\u201d Technische Unterst\u00fctzungssysteme, die die Menschen wirklich wollen, Proceedingsband<\/i>. https:\/\/www.researchgate.net\/publication\/311699737_Smart_Workbench_Ein_multimodales_und_bidirektionales_Assistenzsystem_fur_den_industriellen_Einsatz<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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D. Franz, U. Katzky, S. Neumann, J. Perret, M. Hofer, M. Huber, S. Schmitt-R\u00fcth, et al. 2016. \u201cHaptisches Lernen F\u00fcr Cochlea Implantationen. Konzept HaptiVisT-Projekt.\u201d 15. Jahrestagung der Deutschen Gesellschaft f\u00fcr Computer- und Roboterassistierte Chirurgie (CURAC)<\/i>. https:\/\/curac.org\/images\/advportfoliopro\/images\/CURAC2016\/CURAC%202016%20Tagungsband.pdf<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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S. Haug, L. Glashauser, B. Gro\u00dfmann, C. Pohlt, T. Schlegl, A. Wackerbarth, and K. Weber. 2016. \u201cGamification Im Anlernprozess Am Industriearbeitsplatz \u2013 Ein Inklusiver Ansatz. Studie Zur Entwicklung Eines Anlerntutorials F\u00fcr Ein Gestengesteuertes Teilautomatisiertes Assistenzsystem.\u201d Technische Unterst\u00fctzungssysteme, die die Menschen wirklich wollen, Proceedingsband<\/i>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n<\/div>\n\n\n\n
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Ethics and Technology Impact<\/h3>\n\n\n\n

Prof. Dr. Thomas Kriza<\/a>
Prof. Dr. Karsten Weber<\/a><\/h6>\n\n\n\n
<\/div>\n\n\n
\n\n\t\t11068376<\/span>\n\t\t<\/span>\n\t\tR6ZP5M5T<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n\t\t1<\/span>\n\t\tapsa<\/span>\n\t\t50<\/span>\n\t\tdate<\/span>\n\t\tdesc<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n\t\t<\/span>\n <\/span>\n 2609<\/span>\n\t\thttps:\/\/rcai.de\/wp-content\/plugins\/zotpress\/<\/span>\n\n\t\t
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<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

Publikationen Grundlagen Explainable AI Kausalit\u00e4t Natural Language Processing Computer Audition Edge AI Quantum AI Mathematische Grundlagen Aktuarwissenschaften Statistik Software Engineering Safety & Security Produktion Design Planung Optimierung Robotik und Steuerung Predictive Maintenance Infrastruktur Bauwesen Energie Mobilit\u00e4t Fahrerassistenzsysteme Mobilit\u00e4tskonzepte Medizin Medizinische Bildverarbeitung Digitale Modelle des K\u00f6rpers Neuroimaging\/Brain Computer Interface Ethische, rechtliche und soziale Aspekte Empirische Sozialforschung […]<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"cybocfi_hide_featured_image":"","footnotes":""},"categories":[],"tags":[],"class_list":["post-2609","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/pages\/2609","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/comments?post=2609"}],"version-history":[{"count":170,"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/pages\/2609\/revisions"}],"predecessor-version":[{"id":7778,"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/pages\/2609\/revisions\/7778"}],"wp:attachment":[{"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/media?parent=2609"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/categories?post=2609"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rcai.de\/en\/wp-json\/wp\/v2\/tags?post=2609"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}